Difference between revisions of "Codifying Collaborative Knowledge: Using Wikipedia as a Basis for Automated Ontology Learning"
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| + | | title = Codifying Collaborative Knowledge: Using Wikipedia as a Basis for Automated Ontology Learning | ||
| + | | date = 2009 | ||
| + | | authors = [[Tao Guo]]<br />[[David G. Schwartz]]<br />[[Frada Burstein]]<br />[[Henry Linger]] | ||
| + | | doi = 10.1057/kmrp.2009.14 | ||
| + | | link = https://link.springer.com/content/pdf/10.1057%2Fkmrp.2009.14.pdf | ||
| + | }} | ||
'''Codifying Collaborative Knowledge: Using Wikipedia as a Basis for Automated Ontology Learning''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Tao Guo]], [[David G. Schwartz]], [[Frada Burstein]] and [[Henry Linger]]. | '''Codifying Collaborative Knowledge: Using Wikipedia as a Basis for Automated Ontology Learning''' - scientific work related to [[Wikipedia quality]] published in 2009, written by [[Tao Guo]], [[David G. Schwartz]], [[Frada Burstein]] and [[Henry Linger]]. | ||
== Overview == | == Overview == | ||
In the context of knowledge management, [[ontology]] construction can be considered as a part of capturing of the body of knowledge of a particular problem domain. Traditionally, ontology construction assumes a tedious codification of the domain experts knowledge. In this paper, authors describe a new approach to ontology engineering that has the potential of bridging the dichotomy between codification and collaboration turning to Web 2.0 technology. Authors propose to shift the primary source of ontology knowledge from the expert to socially emergent bodies of knowledge such as [[Wikipedia]]. Using Wikipedia as an example, authors demonstrate how core terms and relationships of a domain ontology can be distilled from this socially constructed source. As an illustration, authors describe how approach achieved over 90% conceptual coverage compared with Gold standard hand-crafted ontologies, such as Cyc. What emerges is not a folksonomy, but rather a formal ontology that has nonetheless found its roots in social knowledge. | In the context of knowledge management, [[ontology]] construction can be considered as a part of capturing of the body of knowledge of a particular problem domain. Traditionally, ontology construction assumes a tedious codification of the domain experts knowledge. In this paper, authors describe a new approach to ontology engineering that has the potential of bridging the dichotomy between codification and collaboration turning to Web 2.0 technology. Authors propose to shift the primary source of ontology knowledge from the expert to socially emergent bodies of knowledge such as [[Wikipedia]]. Using Wikipedia as an example, authors demonstrate how core terms and relationships of a domain ontology can be distilled from this socially constructed source. As an illustration, authors describe how approach achieved over 90% conceptual coverage compared with Gold standard hand-crafted ontologies, such as Cyc. What emerges is not a folksonomy, but rather a formal ontology that has nonetheless found its roots in social knowledge. | ||
Revision as of 10:36, 21 November 2019
Authors | Tao Guo David G. Schwartz Frada Burstein Henry Linger |
|---|---|
Publication date | 2009 |
DOI | 10.1057/kmrp.2009.14 |
Links | Original |
Codifying Collaborative Knowledge: Using Wikipedia as a Basis for Automated Ontology Learning - scientific work related to Wikipedia quality published in 2009, written by Tao Guo, David G. Schwartz, Frada Burstein and Henry Linger.
Overview
In the context of knowledge management, ontology construction can be considered as a part of capturing of the body of knowledge of a particular problem domain. Traditionally, ontology construction assumes a tedious codification of the domain experts knowledge. In this paper, authors describe a new approach to ontology engineering that has the potential of bridging the dichotomy between codification and collaboration turning to Web 2.0 technology. Authors propose to shift the primary source of ontology knowledge from the expert to socially emergent bodies of knowledge such as Wikipedia. Using Wikipedia as an example, authors demonstrate how core terms and relationships of a domain ontology can be distilled from this socially constructed source. As an illustration, authors describe how approach achieved over 90% conceptual coverage compared with Gold standard hand-crafted ontologies, such as Cyc. What emerges is not a folksonomy, but rather a formal ontology that has nonetheless found its roots in social knowledge.
